1 code implementation • 5 Feb 2024 • Amin Parchami-Araghi, Moritz Böhle, Sukrut Rao, Bernt Schiele
Knowledge Distillation (KD) has proven effective for compressing large teacher models into smaller student models.
1 code implementation • 21 Mar 2023 • Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele
To gain a better understanding of which model-guiding approaches actually transfer to more challenging real-world datasets, in this work we conduct an in-depth evaluation across various loss functions, attribution methods, models, and 'guidance depths' on the PASCAL VOC 2007 and MS COCO 2014 datasets, and show that model guidance can sometimes even improve model performance.
1 code implementation • 21 Mar 2023 • Sukrut Rao, Moritz Böhle, Bernt Schiele
Finally, we propose a post-processing smoothing step that significantly improves the performance of some attribution methods, and discuss its applicability.
1 code implementation • ICCV 2023 • Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele
To better understand the effectiveness of the various design choices that have been explored in the context of model guidance, in this work we conduct an in-depth evaluation across various loss functions, attribution methods, models, and 'guidance depths' on the PASCAL VOC 2007 and MS COCO 2014 datasets.
1 code implementation • CVPR 2022 • Sukrut Rao, Moritz Böhle, Bernt Schiele
Finally, we propose a post-processing smoothing step that significantly improves the performance of some attribution methods, and discuss its applicability.
1 code implementation • 5 May 2020 • Sukrut Rao, David Stutz, Bernt Schiele
Then, we apply adversarial training on these location-optimized adversarial patches and demonstrate significantly improved robustness on CIFAR10 and GTSRB.
1 code implementation • 19 Jun 2018 • Saurabh Joshi, Prateek Kumar, Ruben Martins, Sukrut Rao
Incomplete MaxSAT solving aims to quickly find a solution that attempts to minimize the sum of the weights of the unsatisfied soft clauses without providing any optimality guarantees.
3 code implementations • 7 Mar 2018 • Vaibhav B Sinha, Sukrut Rao, Vineeth N. Balasubramanian
A well-known approach for aggregation is the Dawid-Skene (DS) algorithm, which is based on the principle of Expectation-Maximization (EM).